The module builds on the modules ‘Applied mathematics for business economists’ and ‘Applied statistics for business economists’. The module guides the student from descriptive statistics to statistical inference, where the student becomes able to perform business economic analyses by means of statistical models, hereunder conducting of hypothesis tests and regression analyses. This includes: selecting a statistical model, processing of data for the model, testing compliance with the assumptions behind the use of the model, critical interpretation of results and predictions based on the model.
The objective is that the student after the module possesses the necessary knowledge on:
The objective is that the student after the module possesses the necessary skills in:
The objective is that the student after the module possesses the necessary competences in:
For information see §17.
|Name of exam||Applied Quantitative Methods|
|Type of exam|
Written or oral examGroup examination with max. 6 students.
|Assessment||7-point grading scale|
|Type of grading||Internal examination|
|Criteria of assessment||The criteria of assessment are stated in the Examination Policies and Procedures|
|Study Board||Study Board of Business Economics|
|Department||Department of Business and Management|
|Faculty||The Faculty of Social Sciences|